docs: def total_score(paired_dats, p=2, test=StatTests.ks):
      '''Calculates the p-norm of the distances that have been calculated from the statistical
      test that has been applied on all the paired datasets.
  
      Parameters:
          paired_dats: a list of tuples or where each tuple
                           contains the paired data lists from two datasets
  
      Options:
          p : integer that defines the order of p-norm
          test: Stat_tests\
              Defines the statistical test to be used, based\
              on the scipy available modules.\
              Accepted tests: ks_2samp, wilcoxon, ttest
  
      Returns:
          A float corresponding to the p-norm of the distances that have
          been calculated. 0 corresponds to high similarity while 1 to low.
      '''
      scores = np.array([compare_two(fL1, fL2, test=test).dist for fL1, fL2 in paired_dats])
      return np.linalg.norm(scores, p)